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dynamic thermal simulation of buildings with standard lightweight façades. Development of an innovative numerical model in EnergyPlus that allows for the simulation of buildings with dynamic thermal
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: • Develop real-time optimization algorithms; • Model multi-vector energy-water-hydrogen systems; • Support the development of digital twins; • Test the algorithms using operational data; • Prepare a technical
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; Skills in computer programming. Workplan and objectives to be achieved: Development of Machine Learning tools for retrobiosynthesis pipelines, including: (i) validation and extension of models and tools
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regime. Contract The contract model to be used will be in follow the FCT scholarship holder contract draft available at the following link: https://ucppt-my.sharepoint.com/:w:/g/personal/ccabral_ucp_pt
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) Development of workflows and methods enabling AI-powered decision assistants to support full human operators control under risk and model uncertainty, and considering human-AI co-learning.; 2) Develop
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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Develop optimization algorithms for predictive energy management • Model consumption, renewable generation, storage and CO₂ emissions • Test the
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models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning
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of essential components for creating a decentralized data space that allows data sharing in an interoperable way, both at the model level and at the data transfer protocol level. Empirical studies will be used
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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of Artificial Intelligence tools (e.g., Scopus, Elicit) III. Solid knowledge in Maturity Models for Omnichannel Approaches in healthcare IV. Solid knowledge in the persona paradigm in the area of